{"id":18953090,"url":"https://github.com/packtworkshops/the-machine-learning-workshop","last_synced_at":"2025-07-31T02:14:34.833Z","repository":{"id":37652805,"uuid":"233033261","full_name":"PacktWorkshops/The-Machine-Learning-Workshop","owner":"PacktWorkshops","description":"An interactive approach to understanding Machine Learning using scikit-learn","archived":false,"fork":false,"pushed_at":"2024-06-17T23:15:38.000Z","size":10608,"stargazers_count":38,"open_issues_count":2,"forks_count":48,"subscribers_count":4,"default_branch":"master","last_synced_at":"2025-04-07T05:34:43.059Z","etag":null,"topics":["artificial-neural-networks","calinski-harabaz-score","dbscan-clustering","k-means-clustering","mean-shift","naive-bayes-algorithm","silhouette-score","support-vector-machine"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/PacktWorkshops.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2020-01-10T11:29:25.000Z","updated_at":"2025-03-27T07:05:00.000Z","dependencies_parsed_at":"2022-09-07T13:13:39.817Z","dependency_job_id":null,"html_url":"https://github.com/PacktWorkshops/The-Machine-Learning-Workshop","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"purl":"pkg:github/PacktWorkshops/The-Machine-Learning-Workshop","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Machine-Learning-Workshop","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Machine-Learning-Workshop/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Machine-Learning-Workshop/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Machine-Learning-Workshop/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/PacktWorkshops","download_url":"https://codeload.github.com/PacktWorkshops/The-Machine-Learning-Workshop/tar.gz/refs/heads/master","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/PacktWorkshops%2FThe-Machine-Learning-Workshop/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":267977607,"owners_count":24175195,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","status":"online","status_checked_at":"2025-07-31T02:00:08.723Z","response_time":66,"last_error":null,"robots_txt_status":"success","robots_txt_updated_at":"2025-07-24T06:49:26.215Z","robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["artificial-neural-networks","calinski-harabaz-score","dbscan-clustering","k-means-clustering","mean-shift","naive-bayes-algorithm","silhouette-score","support-vector-machine"],"created_at":"2024-11-08T13:36:03.496Z","updated_at":"2025-07-31T02:14:34.814Z","avatar_url":"https://github.com/PacktWorkshops.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# The Machine Learning Workshop\n[![GitHub issues](https://img.shields.io/github/issues/PacktWorkshops/The-Machine-Learning-Workshop.svg)](https://github.com/PacktWorkshops/The-Machine-Learning-Workshop/issues)\n[![GitHub forks](https://img.shields.io/github/forks/PacktWorkshops/The-Machine-Learning-Workshop.svg)](https://github.com/PacktWorkshops/The-Machine-Learning-Workshop/network)\n[![GitHub stars](https://img.shields.io/github/stars/PacktWorkshops/The-Machine-Learning-Workshop.svg)](https://github.com/PacktWorkshops/The-Machine-Learning-Workshop/stargazers)\n[![PRs Welcome](https://img.shields.io/badge/PRs-welcome-brightgreen.svg)](https://github.com/PacktWorkshops/The-Machine-Learning-Workshop/pulls)\n\nThis is the repository for [The Machine Learning Workshop](https://www.amazon.com/Machine-Learning-Workshop-high-performance-scikit-learn/dp/1839219068/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611061956\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801070065\u0026utm_term=Machine%20Learning\u0026utm_content=The%20Machine%20Learning%20Workshop), published by [Packt](https://www.packtpub.com/?utm_source=github). It contains all the supporting project files necessary to work through the course from start to finish.\n\n## Requirements and Setup\n\u003ca href=\"https://www.amazon.com/Machine-Learning-Workshop-high-performance-scikit-learn/dp/1839219068/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611061956\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801070065\u0026utm_term=Machine%20Learning\u0026utm_content=The%20Machine%20Learning%20Workshop\"\u003e\u003cimg src=\"https://github.com/PacktWorkshops/Workshop-Covers/blob/master/B15781_The%20Machine%20Learning%20Workshop.png\" alt=\"The Machine Learning Workshop\" height=\"290px\" width=\"240px\" align=\"right\" this.target=\"_blank\"\u003e\u003c/a\u003e\n\nTo get started with the project files, you'll need to:\n1. Install Python on [Windows/Mac](https://www.python.org/downloads/release/python-376/)\n2. Install pip on [Windows/Mac/Linux](https://pip.pypa.io/en/stable/installing/)\n\n## About The Machine Learning Workshop\nWith expert guidance and real-world examples, [The Machine Learning Workshop](https://www.amazon.com/Machine-Learning-Workshop-high-performance-scikit-learn/dp/1839219068/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611061956\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801070065\u0026utm_term=Machine%20Learning\u0026utm_content=The%20Machine%20Learning%20Workshop) gets you up and running with programming machine learning algorithms. By showing you how to leverage scikit-learn's flexibility, it teaches you all the skills you need to use machine learning to solve real-world problems.\n\n## What you will learn\n* Understand how to select an algorithm that best fits your dataset and desired outcome\n* Explore popular real-world algorithms such as K-means, Mean-Shift, and DBSCAN\n* Discover different approaches to solve machine learning classification problems\n* Develop neural network structures using the scikit-learn package\n* Use the NN algorithm to create models for predicting future outcomes\n* Perform error analysis to improve your model's performance \n\n## Related Workshops\nIf you've found this repository useful, you might want to check out some of our other workshop titles:\n* [The Supervised Learning Workshop](https://www.amazon.com/Supervised-Learning-Workshop-Interactive-Understanding-dp-1800209045/dp/1800209045/ref=mt_other?_encoding=UTF8\u0026me=\u0026qid=1611062666\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781800209046\u0026utm_term=Supervised%20Learning\u0026utm_content=The%20Supervised%20Learning%20Workshop)\n* [The Unsupervised Learning Workshop](https://www.amazon.com/Unsupervised-Learning-Workshop-unsupervised-unorganized/dp/1800200706/ref=tmm_pap_swatch_0?_encoding=UTF8\u0026qid=1611062803\u0026sr=1-1\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781801070515\u0026utm_term=Unsupervised%20Learning\u0026utm_content=The%20Unsupervised%20Learning%20Workshop)\n* [The Reinforcement Learning Workshop](https://www.amazon.com/Reinforcement-Learning-Workshop-cutting-edge-reinforcement-dp-1800200455/dp/1800200455/ref=mt_other?_encoding=UTF8\u0026me=\u0026qid=1611062513\u0026utm_source=github\u0026utm_medium=repository\u0026utm_campaign=9781800200456\u0026utm_term=Reinforcement%20Learning\u0026utm_content=The%20Reinforcement%20Learning%20Workshop)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-machine-learning-workshop","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fpacktworkshops%2Fthe-machine-learning-workshop","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fpacktworkshops%2Fthe-machine-learning-workshop/lists"}